AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_Default_LightGBM LightGBM rmse 170.896 5.31 0.0089
2_Default_Xgboost Xgboost rmse 170.468 2.01 0.0101
3_Default_CatBoost CatBoost rmse 169.979 1.97 0.0088
4_Default_NeuralNetwork Neural Network rmse 170.801 4.68 0.0146
5_Default_RandomForest Random Forest rmse 172.298 5.72 0.0874
10_LightGBM LightGBM rmse 172.388 3.95 0.0089
6_Xgboost Xgboost rmse 171.529 2.09 0.0105
14_CatBoost CatBoost rmse 169.973 542.65 0.0084
15_CatBoost CatBoost rmse 170.015 9.68 0.0084
16_CatBoost CatBoost rmse 169.981 2.76 0.0083
17_CatBoost CatBoost rmse 170.025 3.35 0.0083
18_Xgboost Xgboost rmse 170.467 2.33 0.0104
19_Xgboost Xgboost rmse 170.445 1.86 0.0102
20_NeuralNetwork Neural Network rmse 170.405 4.28 0.0149
21_NeuralNetwork Neural Network rmse 171.245 4.04 0.0145
the best Ensemble Ensemble rmse 169.89 0.2 0.0728

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance (Original Scale)

features importance across models

Scaled Features Importance (MinMax per Model)

scaled features importance across models

Spearman Correlation of Models

models spearman correlation